On Application of association rule-based data mining technology to scientific projects declaration

The declaration of research projects is one of the crucial criteria for the scientific research level of a university. Research data collected in recent years in universities has not been put into effective use. This paper aims to find the co-relation between the indicator of declaration and the other 9 indicators including the team structure, the project level, the research foundation, etc. The paper finds 11 effective strong association rules among all the strong rules by the aid of Apriori algorithm. The paper comes into conclusion that it is more likely for the interdisciplinary research to get approved if its leaders are associate professors with masters´ or higher degree and if it has 5-7 members and over 6 research results. The study will contribute to the successful projects declaration and finally improve the overall scientific research level of the university as a whole.